Top AI Engineer Jobs

The Staff AI Embedded Software Engineer will lead initiatives in embedded software development for connected devices, focusing on AI integration, architecture, and mentoring teams.

The AI Innovation Specialist at Kasa drives operational efficiency via automation, identifies workflows for AI implementation, and collaborates cross-functionally to enhance productivity.

Join TensorOps as a Junior AI/ML Engineer. Work on AI and ML projects, receive mentorship, and contribute to production-grade systems.

The role involves implementing AI features like computer vision and NLP, improving search quality, building Python APIs, and collaborating on solutions.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

The Senior Software Engineer will focus on building AI capabilities within the Laravel codebase, collaborating on technical solutions, and leading backend system architecture while ensuring reliability and security.

As a Senior Engineer, you will build agentic applications and platform components focusing on AI, cloud infrastructure, and client engagement.

The Founding Sales Engineer at Hazel AI will facilitate technical buy-in from customers, conduct demos, and manage compliance in a regulated environment, while shaping the sales and technical processes.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

Lead technical architecture for AI initiatives, mentor mid-level engineers, and deliver scalable AI systems in a complex, cross-functional environment.

Lead technical architecture and direction for complex AI/ML systems, mentor engineers, and drive innovation in applied AI at GEICO.

Contribute to the full software development lifecycle with a focus on AI, using Python and React to build applications and optimize AI interactions. Collaborate with teams on AI integration, prompt engineering, and maintain containerized applications.

The Senior Software Engineer will develop features in Elixir and React for a cloud-native SaaS product, collaborate with teams, and troubleshoot issues.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

As a Senior AI Data Engineer, you will design and maintain user data architectures, build scalable warehouses, integrate AI models, and develop intelligent user interactions.

As a Senior Full Stack Engineer, you will design and build AI-powered products, developing features to improve customer support experiences and automate workflows.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

Design and implement scalable front-end systems, build SDKs, prototype intelligent AI workflows, and collaborate across teams to improve radiology software.

The Senior Software Engineer will design architecture, implement systems for Enterprise AI, collaborate on machine learning development, and support CI/CD practices.

The Principal AI Software Engineer will architect enterprise AI applications, lead initiatives, mentor teams, and establish technical standards for AI integration.

Intern will support AI projects within the Power Transmission business, involving deployment, development, and validation of AI solutions.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.